Compute model-adjusted predictions (fitted values) for a "grid" of regressor values.
predictions( model, variables = NULL, newdata = NULL, conf.level = 0.95, type = "response", ... )
Character vector. Compute Adjusted Predictions for
combinations of each of these variables. Factor levels are considered at
each of their levels. Numeric variables variables are considered at Tukey's
A dataset over which to compute adjusted predictions.
The confidence level to use for the confidence interval.
No interval is computed if
Type(s) of prediction as string or vector This can differ based on the model type, but will typically be a string such as: "response", "link", "probs", or "zero".
Additional arguments are pushed forward to
data.frame with a
predicted column with predictions.